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Home » Blog » Telecom - Technology » QA in the Modern Era: Adopting Agile and Automation Practices

QA in the Modern Era: Adopting Agile and Automation Practices

by businessian
QA in the Modern Era

Quality assurance (QA) has undergone a drastic change with time. Accelerated and fast software development processes are now an absolute need for modern organizations. They are increasingly adopting agile methodologies and automation practices to get better QA processes.

The trends shaping QA and adoption techniques of agile are discussed in this article from the perspective of cloud testing and platforms supporting these transitions.

The Shift to Agile in QA

Agile practices encourage flexibility, collaboration, and customer feedback. There should be testing during development rather than considering it an afterthought when things are just about to be wrapped up.

This shift to agile changes the software delivery approach organizations take toward QA so that testing is not the end of it but something incorporated during the lifecycle of software development. A few key features of this shift:

Continuous Testing

One of the main principles of agile is continuous testing. It refers to running tests in an automated way as part of the process itself. This enables teams to identify problems much earlier, fewer bugs make it into the product that is released, and fixing takes a fraction of the cost. By continuous testing, organizations avoid the potential pitfalls associated with late-stage testing, where bugs are difficult and costlier to fix.

Now, continuous testing is not just the act of executing automated tests; it is the promise to innovate the process of software testing. It empowers organizations to be fast enough and notice changes happening early, allowing high velocities in delivering high-quality software.

Collaboration

Agile encourages collaboration among the members within the organizations to break silos between developers, testers, product owners, and the stakeholders. The testers work together with the developers throughout the development life cycle so that all of them understand the requirements and expectations right from the beginning. Such an environment encourages open communication and responsibility for quality.

Such open lines of communication are maintained by regularly scheduled meetings such as daily stand-ups and sprint reviews. In these meetings, members discuss the progress of the development process, the challenges within it, and the end goal of the software. This keeps everyone in line while enabling quick changes based on real-time feedback.

Automation in QA

Another key element of modern QA practice is automation. It ensures efficiency in repetitive tasks so that the tester can give more complex issues related to human insight and creativity more attention. The need for efficient testing in software development is continually becoming more crucial. Here are some of the key benefits of automation in QA:

Speed

The most important benefit automation gives is its speed. Automated tests are significantly faster compared to equivalent manual tests, and organizations can run a tremendous number of tests in a fraction of the time taken by equivalent manual tests. This speed provides developers with faster feedback so that problems can be resolved much sooner.

To sustain the pace in an environment with fast development, daily changes, and continuous integration and continuous delivery (CI/CD) practices, it becomes important to have a quick turnaround.

As a result, testers and developers can deliver more updates and new features without altering the quality of delivery. A faster feedback loop means that developers can even make adjustments nearly in real time based on results from tests because it saves time that otherwise would be spent in later parts of the development cycle.

Consistency

Consistency is one of the significant advantages of automation. Automated tests are free from human error as the tests are replicated exactly at every execution or every change in the software. This yields more dependable results, and the developers and testers ensure that the tests are performed under the same conditions.

Scalability

Automated testing can scale to test features by covering more aspects without any increase in the proportionality of resources used. With the proper use of this pro, organizations can keep up with increasing demands while maintaining quality.

For example, while numerous features are being added to an application, automated tests could be extended right along with them, and that shouldn’t take too much extra effort or time investment. Scalability assists the organization, as some organizations may be working in agile environments, and their requirements and features are changing fast enough.

Further, automated testing frameworks can be developed to test on a wide range of environments and configurations in parallel. This way organizations can test their applications on different browsers, devices, and operating systems at the same time, taking another step toward delivering high-quality software quickly.

The Importance of Cloud Testing in Modern QA

Cloud testing is now an integral part of modern-day QA approaches, particularly within agile frameworks. This kind of testing allows using the infrastructure of the cloud for testing with minimal investment in hardware or massive establishments on-premises. Here’s how cloud testing enhances QA:

Access to Diverse Environments

Cloud testing presents different environments since it is possible to simulate several user scenarios. With thousands of possible combinations of browser and device, the application performance will be guaranteed anywhere in the world. That makes organizations capable of finding some issues much before they become a problem for end users.

Cost Efficiency

Organizations are adopting more cloud-based testing platforms as they are cost-friendly and efficient, saving on infrastructure spending, particularly for start-ups and small to medium-sized organizations. This ‘pay-as-you-go’ mechanism helps balance the cost with usage, removing upfront investments in hardware.

Flexibility

Cloud-based testing offers great flexibility, and organizations can change their testing efforts based on the needs of a project. Such adaptability helps to quickly respond to the demands of change in the software and thus allows efficient setting, leading to faster iterations in a development cycle.

Features of Effective Cloud Testing Platforms

While using cloud-based platforms for QA processes, you need certain features and platforms that enhance testing efficiency. You can use platforms like LambdaTest, which provides a complete suite of tools for streamlining the testing process while also integrating functionalities such as JSONPath tester.

LambdaTest is an AI-powered test automation platform that allows QA teams to run manual and automated tests at scale across 3000+ browsers and OS combinations.

Blazing-Fast Automation

LambdaTest helps teams run automated tests on different frameworks, which might range from Selenium up to Cypress. This is what ultimately allows the organization to automate the testing process effectively, which in turn gives them rapid feedback as well as quicker release cycles.

Instant Access to Multiple Environments

Users should be able to access a wide range of desktop and mobile environments without requiring complex setups. Given the availability of so many real devices and browsers, organizations can achieve cross-browser compatibility. This flexibility forms a key enabler for ensuring high-quality user experiences.

Auto-Healing Tests

LambdaTest is equipped with great features, one of which is auto-healing, an auto-recovery mechanism from flaky tests automatically without human intervention.

Hence, the cloud-based platforms enhance the quality and reliability of the test suite. This is very helpful when making use of some tools like the JSONPath tester in effectively testing a developer’s own JSONPath expressions against JSON data.

Security Compliance

In any type of cloud-based platform used within a QA process, security holds a prime position. The chosen platform must comply with industry standards, including SOC2 Type 2 certifications and GDPR compliance. LambdaTest does comply with all the industry standards. This focus on security ensures data integrity as satisfactory testing is conducted within the organization.

Challenges in Modern QA

Despite the advantages of Agile methodologies and automation, QA for organizations has yet to be free of challenges. Here are some of the most often encountered challenges in modern QA:

Flaky Tests

Flaky tests are the biggest challenges you’ll ever face with testing with automation. The term “flaky” literally means tests whose results are unstable and unpredictable; they fail without apparent reason despite not being a problem with the code under test.

Flaky tests can arise due to environmental causes such as network instability, timing issues, or dependencies on external services. Inconsistency undermines trust in the credibility of good automated testing practices.

Flaky tests require more digging and fixing time; as such, organizations focus more on root causes rather than developing new features or improving functionality.

Skill Gaps

The other issue that develops in organizations is the skill gap. An organization may not have people skilled in the development process as well as the testing process. As complexity increases in software development, people who can understand these processes are very important for effective collaborative teamwork and QA.

Organizations should engage in development-training programs or seek experts that bridge the gap between development and testing. This ensures efficient teamwork along with quality delivery of software produced by bridging these two entities.

Integration Issues

Introducing new tools to the process might be highly cumbersome work and very time-consuming. The existing processes and systems of an organization may not be too friendly to changes with new technologies.

Furthermore, one needs to take into consideration the process and mechanisms to be adapted in usage with new testing tools or automation frameworks. If the new tools are not integrated, running projects would be disturbed, and the team members would get confused.

Besides, without proper training in new tools, it would again lead to low productivity, frustration, and many other notorious issues.

Best Practices for Agile and Automation in QA

To make sure of the best agile methodologies and automation practices in QA, the following best practices must be considered by organizations:

Start Small

Start with simple test cases and increase the complexity. This incremental approach lets the organizations have confidence in their automation efforts while minimizing the initial risks. Starting small will make it easier for some intricate tests to be handled by learning the tools and frameworks quickly.

Integrate with CI/CD Pipelines

Make sure you’re running automated tests, which participate as part of your CI/CD process to deliver instant feedback. Testing within CI/CD pipelines allows teams to catch problems early in the development cycle, so defects are not likely to slip into production. This instant feedback creates a culture of accountability and continuous improvement.

Use Real Devices for Testing

Emulators are only good for preliminary testing. The real devices are much closer to the experience that will be portrayed to end-users. Testing on actual devices allows for the identification of performance and usability issues that could easily slip past emulators.

Regularly Update Test Cases

Even the test cases should keep pace with the application to remain applicable and relevant. In this context, frequent reviewing and updating of test cases ensure their effectiveness over time. This helps to avoid false positives/negatives from outdated tests and enhances confidence in the testing process.

Future Trends in QA

As the technology advances, QA practices will also improve. Testing with AI will be used to spot issues and optimize test cases based on historical data. Security testing will be a big priority as people have started worrying about the breaches of data. A “shift left” approach that means shifting testing to an earlier stage of the development lifecycle helps to identify the issues as early as possible.

Conclusion

To conclude, fast development cycle software products require agility and automation for QA. Agile methodologies and cloud-based testing can improve QA efforts. Despite flaky tests and skill gaps, agile methodologies offer better software results and user satisfaction benefits.

Organizations must be open to new solutions in QA approaches to achieve quality deliverables. Cloud computing offers robust functionalities for creating quality software aggregations based on customer expectations.

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